{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 微调\n",
    "在前面的一些章节中，我们介绍了如何在只有6万张图像的Fashion-MNIST训练数据集上训练模型。我们还描述了学术界当下使用最广泛的大规模图像数据集ImageNet，它有超过1,000万的图像和1,000类的物体。然而，我们平常接触到数据集的规模通常在这两者之间。\n",
    "\n",
    "假设我们想从图像中识别出不同种类的椅子，然后将购买链接推荐给用户。一种可能的方法是先找出100种常见的椅子，为每种椅子拍摄1,000张不同角度的图像，然后在收集到的图像数据集上训练一个分类模型。这个椅子数据集虽然可能比Fashion-MNIST数据集要庞大，但样本数仍然不及ImageNet数据集中样本数的十分之一。这可能会导致适用于ImageNet数据集的复杂模型在这个椅子数据集上过拟合。同时，因为数据量有限，最终训练得到的模型的精度也可能达不到实用的要求。\n",
    "\n",
    "为了应对上述问题，一个显而易见的解决办法是收集更多的数据。然而，收集和标注数据会花费大量的时间和资金。例如，为了收集ImageNet数据集，研究人员花费了数百万美元的研究经费。虽然目前的数据采集成本已降低了不少，但其成本仍然不可忽略。\n",
    "\n",
    "另外一种解决办法是应用迁移学习（transfer learning），将从源数据集学到的知识迁移到目标数据集上。例如，虽然ImageNet数据集的图像大多跟椅子无关，但在该数据集上训练的模型可以抽取较通用的图像特征，从而能够帮助识别边缘、纹理、形状和物体组成等。这些类似的特征对于识别椅子也可能同样有效。"
   ]
  },
  {
   "attachments": {
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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 热狗识别\n",
    "接下来我们来实践一个具体的例子：热狗识别。我们将基于一个小数据集对在ImageNet数据集上训练好的ResNet模型进行微调。该小数据集含有数千张包含热狗和不包含热狗的图像。我们将使用微调得到的模型来识别一张图像中是否包含热狗。\n",
    "\n",
    "首先，导入实验所需的包或模块。torchvision的models包提供了常用的预训练模型。如果希望获取更多的预训练模型，可以使用使用pretrained-models.pytorch仓库。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "from torch import nn, optim\n",
    "from torch.utils.data import Dataset, DataLoader\n",
    "import torchvision\n",
    "from torchvision.datasets import ImageFolder\n",
    "from torchvision import transforms\n",
    "from torchvision import models\n",
    "import os\n",
    "import time\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "device(type='cuda')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
    "device"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们使用的热狗数据集（点击下载）是从网上抓取的，它含有1400张包含热狗的正类图像，和同样多包含其他食品的负类图像。各类的1000张图像被用于训练，其余则用于测试。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['train', 'test']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_dir = \"./Datasets/hotdog/\"\n",
    "os.listdir(os.path.join(data_dir))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "创建两个ImageFolder实例来分别读取训练数据集和测试数据集中的所有图像文件"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'torchvision.datasets.folder.ImageFolder'> 2000\n",
      "<class 'torchvision.datasets.folder.ImageFolder'> 800\n"
     ]
    }
   ],
   "source": [
    "train_imgs = ImageFolder(os.path.join(data_dir, 'train'))\n",
    "test_imgs = ImageFolder(os.path.join(data_dir, 'test'))\n",
    "print(type(train_imgs), len(train_imgs))\n",
    "print(type(test_imgs), len(test_imgs))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def show_images(imgs, num_rows, num_cols, scale=2):\n",
    "    figsize = (num_cols * scale, num_rows * scale)\n",
    "    _, axes = plt.subplots(num_rows, num_cols, figsize=figsize)\n",
    "    for i in range(num_rows):\n",
    "        for j in range(num_cols):\n",
    "            axes[i][j].imshow(imgs[i * num_cols + j])\n",
    "            axes[i][j].axes.get_xaxis().set_visible(False)\n",
    "            axes[i][j].axes.get_yaxis().set_visible(False)\n",
    "    # return axes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 806.4x201.6 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画出前8张正类图像和最后8张负类图像。可以看到，它们的大小和高宽比各不相同\n",
    "hotdogs = [train_imgs[i][0] for i in range(8)]\n",
    "not_hotdogs = [train_imgs[-i - 1][0] for i in range(8)]\n",
    "show_images(hotdogs + not_hotdogs, 2, 8, scale=1.4)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在训练时，我们先从图像中裁剪出随机大小和随机高宽比的一块随机区域，然后将该区域缩放为高和宽均为224像素的输入。测试时，我们将图像的高和宽均缩放为256像素，然后从中裁剪出高和宽均为224像素的中心区域作为输入。此外，我们对RGB（红、绿、蓝）三个颜色通道的数值做标准化：每个数值减去该通道所有数值的平均值，再除以该通道所有数值的标准差作为输出。\n",
    "\n",
    "注: 在使用预训练模型时，一定要和预训练时作同样的预处理。 如果你使用的是torchvision的models，那就要求: All pre-trained models expect input images normalized in the same way, i.e. mini-batches of 3-channel RGB images of shape (3 x H x W), where H and W are expected to be at least 224. The images have to be loaded in to a range of [0, 1] and then normalized using mean = [0.485, 0.456, 0.406] and std = [0.229, 0.224, 0.225]. 如果你使用的是pretrained-models.pytorch仓库，请务必阅读其README，其中说明了如何预处理。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 指定RGB三个通道的均值和方差来将图像通道归一化\n",
    "normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])\n",
    "train_augs = transforms.Compose([\n",
    "    transforms.RandomResizedCrop(size=224),\n",
    "    transforms.RandomHorizontalFlip(),\n",
    "    transforms.ToTensor(),\n",
    "    normalize\n",
    "])\n",
    "\n",
    "test_augs = transforms.Compose([\n",
    "    transforms.Resize(size=256),\n",
    "    transforms.CenterCrop(size=224),\n",
    "    transforms.ToTensor(),\n",
    "    normalize\n",
    "])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 定义和初始化模型\n",
    "使用在ImageNet数据集上预训练的ResNet-18作为源模型。这里指定pretrained=True来自动下载并加载预训练的模型参数。在第一次使用时需要联网下载模型参数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "pretrained_net = models.resnet18(pretrained=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "不管你是使用的torchvision的models还是pretrained-models.pytorch仓库，默认都会将预训练好的模型参数下载到你的home目录下.torch文件夹。你可以通过修改环境变量$TORCH_MODEL_ZOO来更改下载目录:\n",
    "```\n",
    "export TORCH_MODEL_ZOO=\"/local/pretrainedmodels\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv1 output shape:\t torch.Size([1, 64, 112, 112])\n",
      "bn1 output shape:\t torch.Size([1, 64, 112, 112])\n",
      "relu output shape:\t torch.Size([1, 64, 112, 112])\n",
      "maxpool output shape:\t torch.Size([1, 64, 56, 56])\n",
      "layer1 output shape:\t torch.Size([1, 64, 56, 56])\n",
      "layer2 output shape:\t torch.Size([1, 128, 28, 28])\n",
      "layer3 output shape:\t torch.Size([1, 256, 14, 14])\n",
      "layer4 output shape:\t torch.Size([1, 512, 7, 7])\n",
      "avgpool output shape:\t torch.Size([1, 512, 1, 1])\n",
      "fc output shape:\t torch.Size([1, 1000])\n"
     ]
    }
   ],
   "source": [
    "x = torch.rand(1, 3, 224, 224)\n",
    "for name, layer in pretrained_net.named_children():\n",
    "    if name == 'fc': # 很奇怪，在全连接层之前竟然没有FlattenLayer\n",
    "        x = x.view(x.shape[0], -1)\n",
    "    x = layer(x)\n",
    "    print(name, 'output shape:\\t', x.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Linear(in_features=512, out_features=1000, bias=True)\n"
     ]
    }
   ],
   "source": [
    "# 打印源模型的成员变量fc。作为一个全连接层，它将ResNet最终的全局平均池化层输出变换成ImageNet数据集上1000类的输出。\n",
    "print(pretrained_net.fc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意：如果你使用的是其他模型，那可能没有成员变量fc（比如models中的VGG预训练模型），所以正确做法是查看对应模型源码中其定义部分，这样既不会出错也能加深我们对模型的理解。pretrained-models.pytorch仓库貌似统一了接口，但是我还是建议使用时查看一下对应模型的源码。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Linear(in_features=512, out_features=2, bias=True)\n"
     ]
    }
   ],
   "source": [
    "# 将最后的fc成修改我们需要的输出类别数\n",
    "pretrained_net.fc = nn.Linear(512, 2)\n",
    "print(pretrained_net.fc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "conv1.weight torch.Size([64, 3, 7, 7])\n",
      "bn1.weight torch.Size([64])\n",
      "bn1.bias torch.Size([64])\n",
      "layer1.0.conv1.weight torch.Size([64, 64, 3, 3])\n",
      "layer1.0.bn1.weight torch.Size([64])\n",
      "layer1.0.bn1.bias torch.Size([64])\n",
      "layer1.0.conv2.weight torch.Size([64, 64, 3, 3])\n",
      "layer1.0.bn2.weight torch.Size([64])\n",
      "layer1.0.bn2.bias torch.Size([64])\n",
      "layer1.1.conv1.weight torch.Size([64, 64, 3, 3])\n",
      "layer1.1.bn1.weight torch.Size([64])\n",
      "layer1.1.bn1.bias torch.Size([64])\n",
      "layer1.1.conv2.weight torch.Size([64, 64, 3, 3])\n",
      "layer1.1.bn2.weight torch.Size([64])\n",
      "layer1.1.bn2.bias torch.Size([64])\n",
      "layer2.0.conv1.weight torch.Size([128, 64, 3, 3])\n",
      "layer2.0.bn1.weight torch.Size([128])\n",
      "layer2.0.bn1.bias torch.Size([128])\n",
      "layer2.0.conv2.weight torch.Size([128, 128, 3, 3])\n",
      "layer2.0.bn2.weight torch.Size([128])\n",
      "layer2.0.bn2.bias torch.Size([128])\n",
      "layer2.0.downsample.0.weight torch.Size([128, 64, 1, 1])\n",
      "layer2.0.downsample.1.weight torch.Size([128])\n",
      "layer2.0.downsample.1.bias torch.Size([128])\n",
      "layer2.1.conv1.weight torch.Size([128, 128, 3, 3])\n",
      "layer2.1.bn1.weight torch.Size([128])\n",
      "layer2.1.bn1.bias torch.Size([128])\n",
      "layer2.1.conv2.weight torch.Size([128, 128, 3, 3])\n",
      "layer2.1.bn2.weight torch.Size([128])\n",
      "layer2.1.bn2.bias torch.Size([128])\n",
      "layer3.0.conv1.weight torch.Size([256, 128, 3, 3])\n",
      "layer3.0.bn1.weight torch.Size([256])\n",
      "layer3.0.bn1.bias torch.Size([256])\n",
      "layer3.0.conv2.weight torch.Size([256, 256, 3, 3])\n",
      "layer3.0.bn2.weight torch.Size([256])\n",
      "layer3.0.bn2.bias torch.Size([256])\n",
      "layer3.0.downsample.0.weight torch.Size([256, 128, 1, 1])\n",
      "layer3.0.downsample.1.weight torch.Size([256])\n",
      "layer3.0.downsample.1.bias torch.Size([256])\n",
      "layer3.1.conv1.weight torch.Size([256, 256, 3, 3])\n",
      "layer3.1.bn1.weight torch.Size([256])\n",
      "layer3.1.bn1.bias torch.Size([256])\n",
      "layer3.1.conv2.weight torch.Size([256, 256, 3, 3])\n",
      "layer3.1.bn2.weight torch.Size([256])\n",
      "layer3.1.bn2.bias torch.Size([256])\n",
      "layer4.0.conv1.weight torch.Size([512, 256, 3, 3])\n",
      "layer4.0.bn1.weight torch.Size([512])\n",
      "layer4.0.bn1.bias torch.Size([512])\n",
      "layer4.0.conv2.weight torch.Size([512, 512, 3, 3])\n",
      "layer4.0.bn2.weight torch.Size([512])\n",
      "layer4.0.bn2.bias torch.Size([512])\n",
      "layer4.0.downsample.0.weight torch.Size([512, 256, 1, 1])\n",
      "layer4.0.downsample.1.weight torch.Size([512])\n",
      "layer4.0.downsample.1.bias torch.Size([512])\n",
      "layer4.1.conv1.weight torch.Size([512, 512, 3, 3])\n",
      "layer4.1.bn1.weight torch.Size([512])\n",
      "layer4.1.bn1.bias torch.Size([512])\n",
      "layer4.1.conv2.weight torch.Size([512, 512, 3, 3])\n",
      "layer4.1.bn2.weight torch.Size([512])\n",
      "layer4.1.bn2.bias torch.Size([512])\n",
      "fc.weight torch.Size([2, 512])\n",
      "fc.bias torch.Size([2])\n"
     ]
    }
   ],
   "source": [
    "for name, param in pretrained_net.named_parameters():\n",
    "    print(name, param.size())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "此时，pretrained_net的fc层就被随机初始化了，但是其他层依然保存着预训练得到的参数。由于是在很大的ImageNet数据集上预训练的，所以参数已经足够好，因此一般只需使用较小的学习率来微调这些参数，而fc中的随机初始化参数一般需要更大的学习率从头训练。PyTorch可以方便的对模型的不同部分设置不同的学习参数，我们在下面代码中将fc的学习率设为已经预训练过的部分的10倍。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_params = list(map(id, pretrained_net.fc.parameters()))\n",
    "feature_params = filter(lambda p:id(p) not in output_params, pretrained_net.parameters())\n",
    "\n",
    "lr = 0.01\n",
    "optimizer = optim.SGD(\n",
    "    [{'params': feature_params},{'params': pretrained_net.fc.parameters(), 'lr': lr*10}],\n",
    "    lr=lr,\n",
    "    weight_decay=0.001\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 微调模型训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def evaluate_accuracy(data_iter, net, device=None):\n",
    "    if device is None and isinstance(net, torch.nn.Module):\n",
    "        # 如果没有指定device，就使用net的device\n",
    "        device = list(net.parameters())[0].device\n",
    "    acc_sum, n = 0.0, 0\n",
    "    with torch.no_grad():\n",
    "        for X, y in data_iter:\n",
    "            if isinstance(net, torch.nn.Module):\n",
    "                net.eval() # 评估模型，这会关闭dropout\n",
    "                acc_sum += (net(X.to(device)).argmax(dim=1)==y.to(device)).float().sum().cpu().item()\n",
    "                net.train() # 改回训练模型\n",
    "            else: # 自定义的模型，不考虑使用GPU\n",
    "                if ('is_training' in net.__code__.co_varnames): # 如果有is_training这个参数\n",
    "                    # 将is_training设置成False\n",
    "                    acc_sum += (net(x, is_training=False).argmax(dim=1)==y).float().sum().item()\n",
    "                else:\n",
    "                    acc_sum += (net(x).argmax(dim=1)==y).float().sum().item()\n",
    "            n += y.shape[0]\n",
    "    return acc_sum/n\n",
    "\n",
    "def train_model(net, train_iter, test_iter, batch_size, optimizer, device, num_epochs):\n",
    "    net = net.to(device)\n",
    "    print('training on ', device)\n",
    "    loss = torch.nn.CrossEntropyLoss()\n",
    "    for epoch in range(num_epochs):\n",
    "        train_ls_sum, train_acc_sum = 0.0, 0.0\n",
    "        n, batch_count, start = 0, 0, time.time()\n",
    "        for X, y in train_iter:\n",
    "            X = X.to(device)\n",
    "            y = y.to(device)\n",
    "            y_hat = net(X)\n",
    "            l = loss(y_hat, y)\n",
    "            optimizer.zero_grad()\n",
    "            l.backward()\n",
    "            optimizer.step()\n",
    "            train_ls_sum += l.cpu().item()\n",
    "            train_acc_sum += (y_hat.argmax(dim=1)==y).sum().cpu().item()\n",
    "            n += y.shape[0]\n",
    "            batch_count += 1\n",
    "        test_acc = evaluate_accuracy(test_iter, net)\n",
    "        print('epoch %d, loss %.4f, train_acc %.3f, test_acc %.3f, time %.1f sec' % (epoch + 1, train_ls_sum/batch_count, train_acc_sum/n, test_acc, time.time() - start))\n",
    "        \n",
    "\n",
    "def train_fine_tuning(net, optimizer, batch_size=32, num_epochs=5):\n",
    "    train_iter = DataLoader(ImageFolder(os.path.join(data_dir,'train'), transform=train_augs), batch_size, shuffle=True, num_workers=4)\n",
    "    test_iter = DataLoader(ImageFolder(os.path.join(data_dir,'test'), transform=test_augs), batch_size, num_workers=4)\n",
    "    loss = torch.nn.CrossEntropyLoss()\n",
    "    train_model(net, train_iter, test_iter, batch_size, optimizer, device, num_epochs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training on  cuda\n",
      "epoch 1, loss 1.8081, train_acc 0.806, test_acc 0.886, time 38.2 sec\n",
      "epoch 2, loss 0.9297, train_acc 0.853, test_acc 0.871, time 33.8 sec\n",
      "epoch 3, loss 0.5159, train_acc 0.889, test_acc 0.902, time 33.9 sec\n",
      "epoch 4, loss 0.2993, train_acc 0.905, test_acc 0.935, time 35.3 sec\n",
      "epoch 5, loss 0.1493, train_acc 0.947, test_acc 0.948, time 35.3 sec\n"
     ]
    }
   ],
   "source": [
    "# 以10倍的学习率从头训练目标模型的输出层参数\n",
    "train_fine_tuning(pretrained_net, optimizer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "作为对比，我们定义一个相同的模型，但将它的所有模型参数都初始化为随机值。由于整个模型都需要从头训练，我们可以使用较大的学习率。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "training on  cuda\n",
      "epoch 1, loss 1.3124, train_acc 0.699, test_acc 0.669, time 33.6 sec\n",
      "epoch 2, loss 0.5258, train_acc 0.804, test_acc 0.806, time 33.3 sec\n",
      "epoch 3, loss 0.4614, train_acc 0.799, test_acc 0.853, time 33.3 sec\n",
      "epoch 4, loss 0.4329, train_acc 0.818, test_acc 0.646, time 33.5 sec\n",
      "epoch 5, loss 0.4113, train_acc 0.829, test_acc 0.789, time 34.0 sec\n"
     ]
    }
   ],
   "source": [
    "scratch_net = models.resnet18(pretrained=False, num_classes=2)\n",
    "lr = 0.1\n",
    "optimizer = optim.SGD(scratch_net.parameters(), lr=lr, weight_decay=0.001)\n",
    "train_fine_tuning(scratch_net, optimizer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "可以看到，微调的模型因为参数初始值更好，往往在相同迭代周期下取得更高的精度。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 小结\n",
    "1、迁移学习将从源数据集学到的知识迁移到目标数据集上。微调是迁移学习的一种常用技术。\n",
    "\n",
    "2、目标模型复制了源模型上除了输出层外的所有模型设计及其参数，并基于目标数据集微调这些参数。而目标模型的输出层需要从头训练。\n",
    "\n",
    "3、一般来说，微调参数会使用较小的学习率，而从头训练输出层可以使用较大的学习率。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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